fit op• 数据种类:simmodel → table
• 调用: import fullseye as fs; fs.ledger.simcal_screen(model=None, method='morris', size=8, threshold=10.0, seed=0) -> 'dict'(要直接调用实现,import simcal; simcal.simcal_screen(model=None, method='morris', size=8, threshold=10.0, seed=0) -> 'dict';从台账取用则 opssimcal.get("simcal_screen"))
哪些旋钮能使图像变化超过相机噪声、哪些相互混杂、输出有多少个独立方向。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
Runs the model on a screening plan over the free knobs' ranges — Morris trajectories (sensitivity.doe_morris, size of them, (k+1) runs each) or a Saltelli plan (sensitivity.doe_saltelli with n = the power of two >= 8 x size rows, (k+2) n runs) — and whitens every output by the noise standard deviation at the initial knobs. The whitened outputs are reduced to principal components and the indices are computed per component with sensitivity.sens_morris / sens_sobol (reused):
Morris mu_star_whitened = sqrt(sum over components of mu*^2) — roughly how many noise standard deviations a full-range move of the knob shifts the images; Sobol' gsi_st = the variance-weighted total index over components (Lamboni et al. 2011). output_dims = number of principal directions of the centred whitened runs above the noise edge (sensitivity.mv_residual_pca with sigma = 1): more free knobs than output dims means the data cannot fix them all. Local confounding at the initial knobs:
sensitivity.mv_confounding on the whitened Jacobian (gamma_K > threshold).
class per knob: no_influence (Morris: mu*_whitened < 1.96, i.e. a full-range move is within noise; Sobol': gsi_st < 0.001), combination (in a confounded group: only a combination is determined), else determined. Needs a noise model (refused without).
• sim_to_real_calibration 族使用指南
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者、年份)与用途见上面的族使用指南。
• poc_simcal_thin_film — py -3.11 examples/poc_simcal_thin_film.py
• simcal_tour — py -3.11 examples/simcal_tour.py
table 作为输入)—
fit)*Provenance: simcal.py — SIMCAL 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.